A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

Resources for Machine Learning Pocket Reference

AWS Certified Machine Learning - Specialty (MLS-C01)

The uncompromising Python code formatter

Enterprise-grade, production-hardened, serverless data lake on AWS

An opinionated list of awesome Python frameworks, libraries, software and resources.

Case studies, examples, and exercises for learning to deploy ML models using AWS SageMaker.

Compare the contents of your hosted and proxy repositories for coordinate collisions

Machine Learning University: Accelerated Natural Language Processing Class

Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

Path utilities for Python

Python library and shell utilities to monitor filesystem events.

A library that allows you to easily mock out tests based on AWS infrastructure.

Documentation on how to access and use the Quick, Draw! Dataset.

Example projects using the AWS CDK

AWS Lambda function used to send an S3 file to a remote server using SFTP

DEPRECATED! AWS lambda function to send an S3 file, whenever it is uploaded, to a remote server using SFTP

AWS Quick Start Team

Apache Airflow - A platform to programmatically author, schedule, and monitor workflows

Poverty Prediction by Combination of Satellite Imagery

Interactive Web Plotting with Bokeh in IPython notebook

AWS Technical Trainers Demos

Imaging, analysis, and simulation software for radio interferometry

The Hacker Within at the University of California - Berkeley

For the latest version of boto, see https://github.com/boto/boto3 -- Python interface to Amazon Web Services

Public material for CS109

A collection of useful CloudFormation templates

troposphere - Python library to create AWS CloudFormation descriptions